Has traveledinternationallyto attend thisconferenceHassuccessfullydebugged acomplexLLMHasexperiencewith fine-tuning a pre-trained LLMHas apreferred AIresearch toolthey canrecommendIs currentlyworking on aprojectinvolving cross-lingual transferlearningHasparticipated ina hackathonfocused on AIor LLMsIs familiarwith theconcept ofpromptengineeringHas used agenerative AImodel for anon-academicpurposeIs excitedabout thepotential ofLLMs ineducationHasattended anICMLconferencebeforeHas used anLLM tosummarizeresearchpapersKnows atleast threeprogramminglanguagesHas experiencewith low-resourcelanguages inNLPHascontributedto an open-source AIprojectHas presenteda paper onnaturallanguagegenerationCanrecommenda good AI ortech relatedpodcastHas collaboratedon a researchpaper withsomeone from adifferent continentHaspublishedresearch onmultilingualLLMsIs interestedin the ethicalimplicationsof generativeAICan explain thedifferencebetween causaland maskedlanguagemodelsCan namethreedifferent LLMarchitecturesHas used agenerative AImodel tocreate art ormusicHas learneda newlanguage inthe last yearIs optimisticabout thefuture ofhuman-AIcollaborationHas traveledinternationallyto attend thisconferenceHassuccessfullydebugged acomplexLLMHasexperiencewith fine-tuning a pre-trained LLMHas apreferred AIresearch toolthey canrecommendIs currentlyworking on aprojectinvolving cross-lingual transferlearningHasparticipated ina hackathonfocused on AIor LLMsIs familiarwith theconcept ofpromptengineeringHas used agenerative AImodel for anon-academicpurposeIs excitedabout thepotential ofLLMs ineducationHasattended anICMLconferencebeforeHas used anLLM tosummarizeresearchpapersKnows atleast threeprogramminglanguagesHas experiencewith low-resourcelanguages inNLPHascontributedto an open-source AIprojectHas presenteda paper onnaturallanguagegenerationCanrecommenda good AI ortech relatedpodcastHas collaboratedon a researchpaper withsomeone from adifferent continentHaspublishedresearch onmultilingualLLMsIs interestedin the ethicalimplicationsof generativeAICan explain thedifferencebetween causaland maskedlanguagemodelsCan namethreedifferent LLMarchitecturesHas used agenerative AImodel tocreate art ormusicHas learneda newlanguage inthe last yearIs optimisticabout thefuture ofhuman-AIcollaboration

Human BINGO: Navigating Generative AI and LLMs Across Languages - Call List

(Print) Use this randomly generated list as your call list when playing the game. There is no need to say the BINGO column name. Place some kind of mark (like an X, a checkmark, a dot, tally mark, etc) on each cell as you announce it, to keep track. You can also cut out each item, place them in a bag and pull words from the bag.


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  1. Has traveled internationally to attend this conference
  2. Has successfully debugged a complex LLM
  3. Has experience with fine-tuning a pre-trained LLM
  4. Has a preferred AI research tool they can recommend
  5. Is currently working on a project involving cross-lingual transfer learning
  6. Has participated in a hackathon focused on AI or LLMs
  7. Is familiar with the concept of prompt engineering
  8. Has used a generative AI model for a non-academic purpose
  9. Is excited about the potential of LLMs in education
  10. Has attended an ICML conference before
  11. Has used an LLM to summarize research papers
  12. Knows at least three programming languages
  13. Has experience with low-resource languages in NLP
  14. Has contributed to an open-source AI project
  15. Has presented a paper on natural language generation
  16. Can recommend a good AI or tech related podcast
  17. Has collaborated on a research paper with someone from a different continent
  18. Has published research on multilingual LLMs
  19. Is interested in the ethical implications of generative AI
  20. Can explain the difference between causal and masked language models
  21. Can name three different LLM architectures
  22. Has used a generative AI model to create art or music
  23. Has learned a new language in the last year
  24. Is optimistic about the future of human-AI collaboration